Generative AI Engineer - Forsyth Barnes : Job Details

Generative AI Engineer

Forsyth Barnes

Job Location : New York,NY, USA

Posted on : 2025-08-05T01:14:45Z

Job Description :

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This range is provided by Forsyth Barnes. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$100,000.00/yr - $180,000.00/yr

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Vice President - Data & Technology & Co-Founder of The Table | Finalist at the Women in Tech Awards 2024 Outstanding Advocate for Women in Tech

Locations: Hybrid - Numerous Locations

Are you a hands-on AI expert passionate about solving complex problems with generative AI? We are seeking a GenAI Engineer to join a dynamic real estate technology team that is redefining how artificial intelligence is applied in one of the world's most influential industries.

This role is ideal for a senior-level engineer who thrives on building advanced AI solutions while also mentoring others. You'll have the opportunity to lead cutting-edge GenAI projects and work in a collaborative, forward-thinking environment where your expertise directly shapes the future of AI in real estate.

Key Responsibilities

  • Lead the design and implementation of AI and generative AI solutions that solve complex business challenges.
  • Dedicate ~two-thirds of your time to hands-on development of GenAI projects and one-third to mentoring and upskilling team members.
  • Collaborate with data scientists, engineers, and product teams to integrate AI capabilities into enterprise applications.
  • Provide expert-level guidance on best practices for AI adoption and help overcome technical challenges.
  • Stay on top of emerging trends in AI, machine learning, and generative AI, and apply them to real-world use cases.
  • Drive measurable improvements in business outcomes through innovative AI solutions.

Qualifications

  • Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
  • Proven experience in AI and generative AI development, with a strong portfolio of successful projects.
  • Hands-on experience with large language models (LLMs), prompt engineering, and AI toolchains.
  • Proficiency in Python, cloud platforms (AWS/Azure/GCP), and modern ML frameworks.
  • Strong background in mentoring teams and guiding junior engineers in advanced AI concepts.
  • Excellent problem-solving skills and ability to work in a collaborative environment.
  • Familiarity with real estate or logistics technology is a plus, but not required.
Seniority level
  • Seniority levelMid-Senior level
Employment type
  • Employment typeFull-time
Job function
  • Job functionInformation Technology

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